We put out a call for tenders to find support for the QuantiCoM materials research project at the DLR Institute of Materials Research: The contract has now been awarded to the Karlsruhe-based quantum simulation start-up HQS.
We put out a call for tenders for support for the QuantiCoM materials research project of the DLR Institute of Materials Research: The contract has now been awarded to the Karlsruhe-based quantum simulation centre Quantum computers are expected to play an enormously important role in materials simulation and development from the very beginning: Even the small, noisy computers of the first generation could expand our understanding of the interplay of matter and enable the first breakthroughs in materials research and development. We are certain that with projects such as QuantiCoM, we are expanding the scope of possibilities for industry and research in the long term.
With QuantiCoM | MatQML, we want to find out whether certain solution strategies in data-based materials science can benefit from the methods of quantum machine learning (QML) in materials science. One practical use case is the screening and optimisation of alloy compositions, for which the project team will use quantum computing approaches for machine learning.Startup HQS.
Quantum machine learning for material search
The search for materials with specific material properties is of great importance for many sectors of the manufacturing industry. Classic machine learning methods are already being used for this search, for example to predict the material properties of iron-chromium alloys or to predict the elasticity of titanium alloys.
In the QuantiCoM | MatQML project, quantum machine learning (QML) and optimisation algorithms for quantum computers are now to be used together with HQS Quantum Simulations to predict and optimise the material properties of alloys. The aim is to achieve an improvement over conventional methods. Specifically, the project is pursuing a quantum advantage in machine learning (mainly in the area of network training) with the help of solution approaches for quadtratic unconstrained binary optimisation (QUBO) and better trainability of quantum neural networks (QNNS).
Strong basic research for relevant applications
The QuantiCoM project is being led by the DLR Institute of Materials Research in Cologne. The DLR Institute of Materials Physics in Space and the DLR Institute of Engineering Thermodynamics are also involved. The research focus of the Institute of Materials Research is on the development of new material solutions and their process technologies for applications in the aerospace, energy and automotive sectors. In co-operation with other DLR institutes as well as national and international partners, the Institute of Materials Research works on basic and applied research. The research portfolio covers the areas of metallic structures, hybrid systems and intermetallics, structural and functional ceramics, thermoelectric systems, aerogels and aerogel composites as well as high-temperature and functional coatings.
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